CN-Protect Desktop

Software that allows you to create privacy-protected datasets that satisfy HIPAA, GDPR and other privacy regulations while preserving analytical value

Privacy Compliance- Apply consistent privacy protection

Data Science on privacy-protected data- Optimize privacy protection while preserving analytical value

Easy to use and adopt – Available with a graphical UI and integrates into your data science stack

CN-Protect App

Generate a privacy-protected dataset that satisfies HIPAA, GDPR and other privacy regulations while preserving  analytical value

 

Compliance – Apply consistent privacy protection

Data Science on privacy-protected data- Optimize privacy protection while preserving data quality

Easy to use and adopt – Available with a graphical UI and integrates into your data science stack

Register to receive in your email a link to download the free version of CN-Protect

Current approaches to de-identify data such as masking, tokenization, and aggregation can leave data unprotected or without analytical value. CN-protect leverages AI and the most advanced anonymization techniques, such as optimal k-Anonymity and Differential Privacy, to protect your data and maintain analytical value.

Features

Level of Protection

Select or customize a protection scheme that satisfies your privacy needs

Privacy Risk

Understand the probability of re-identifying individuals in your data

Information Loss

Understand the impact of de-identification on the analytical value of your data

Register to receive in your email a link to download the free version of CN-Protect

Use cases

Realizing the potential of healthcare data

A large healthcare network wanted to unlock analytical value from patient data while complying with privacy regulations.

With CN-Protect they were able to preserve the granularity of the relevant analytical data elements while protecting all the identifying attributes, ensuring compliance.

Enable new business partnerships cheaply and quickly

One of the largest aggregators of credit card transaction data wanted to significantly improve data utility of its assets but it had to be done in a way that was privacy compliant and safeguarded consumer information.

With CN-Protect they were able to derive the same analytical value as before privacy protection was applied.

Privacy protected access to data lake without sacrificing data quality

A Re-Insurance company wants to broaden access to its data lake without compromising data privacy, preserving analytical value, and at reasonable infrastructure costs.

With CN-Protect they improved data access for teams without adding excessive infrastructure costs while reducing the risk of consumer information exposure.

Crash Course on Privacy

Weekly News #4

Nearly half of U.S.-based employees unfamiliar with emerging California Consumer Privacy Act (CCPA), which could affect businesses and innovators. Zuckerberg explains how Facebook gets 'privacy-focused', including how they will work with the online education site,...

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Weekly News #5

It’s Privacy Awareness week! This year, the theme is how ‘protecting privacy is everyone’s responsibility’. Google is trying to fix their privacy blunders even though experts are not impressed, while Amazon is still making the same blunders as before. Beware Canada, a...

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Weekly News #6

Smart homes are not so smart when it comes to protecting privacy. WhatsApp gets hacked by Israeli spies. Intel notifies customers about security flaws with chip. New regulations hint companies toward having better data management. Australian data breach affects 10...

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Weekly News #7

Share your data to live a longer life. Build a complete privacy toolbox and stay privacy compliant. A.I. can now tell if a user browsing a site is an adult or a child.  For a Longer, Healthier Life, Share Your Data Share your data with others. Wait. What? You read it...

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